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A novel method for inferring strict and lenient marks into normal marks using fuzzy logic

机译:使用模糊逻辑将严格和恒定标记推断出严格和宽度标记的新方法

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摘要

The key aspect of education institution is student evaluation. Fairness in evaluation encourages and motivates students to perform better as they feel it is a true receipt of their hard work. Because of unfair evaluation students may miss some career opportunity which will make them de-motivated and disheartened. For large number of students, more examiners are required for assessment. In this scenario, there is every possibility that some examiners may be strict, some may be lenient and some are of normal type. Now, the fortune of the students will be decided by type of examiner (strict or lenient) who will be doing assessment of student's answersheets. The proposed method provides solution to the problem of subjective decision of examiner. It tries to infer strict and lenient marks into approximately normal marks as per the level or degree of strictness/ leniency of the examiner. To achieve this proposed method makes use of fuzzy logic.
机译:教育机构的关键方面是学生评估。评估的公平鼓励并激励学生更好地表现,因为他们觉得它是真正的努力工作。由于不公平的评估,学生可能会错过一些职业机会,这将使他们成为脱节和沮丧。对于大量学生,评估需要更多的审查员。在这种情况下,有些可能是一些审查员可能是严格的,有些可能是宽容的,有些是正常的类型。现在,学生的财富将由审查员(严格或宽度)的类型决定,他们将为学生的答题评估进行评估。该方法提供了解决审查员主观决定问题的解决方案。它试图根据审查员的严格/宽大程度或程度推断出严格和宽度的标记。实现这一提出的方法利用模糊逻辑。

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